Drought Assessment in the Sardinia Region (Italy) During 1922–2011 Using the Standardized Precipitation Index

Caloiero, Tommaso; Veltri, Simone

doi:10.1007/s00024-018-2008-5

Cited by 34 publications

(21 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…highest SDD peaks coincides with lowest turbidity values and vice versa); data shown in Figure 3 highlight maximum SDD and minimum turbidity values occurring in summer with transparent waters. On the contrary, spring and autumn seasons are generally characterized by greater turbidity as a consequence of meteorological extreme rainfall events (Caloiero & Veltri, 2018). Multitemporal data show that significant events of SDD maximum peaks occurred in 2018: in fact, out of a total of 12 dates with SDD > 3 m, six occurred in the first half of 2018.…”

Section: Multi-temporal Analysis For Mulargia Reservoirmentioning

confidence: 99%

Monitoring water quality in two dammed reservoirs from multispectral satellite data

Bresciani

Giardino

Stroppiana

et al. 2019

European Journal of Remote Sensing

View full text Add to dashboard Cite

Providing relatively fine spatial resolution multispectral data, Landsat-8, Landsat-7 (L8 and L7, respectively) and Sentinel-2 (S2) from 2013 to 2018 have been used in this study for enabling high-frequency monitoring of water quality of two small (the smaller with an area of 1.6 km 2) freshwater dammed reservoirs. Located in Sardinia (Italy) and Crete (Greek), respectively, Mulargia and Aposelemis represent vital resources to supply drinking water in downstream valleys. A total of 400 cloud-free satellite images were turned into information on water quality by using an image processing chain implementing physically based methods for retrieving chlorophyll-a concentration (Chl-a), turbidity, Secchi disk depth (SDD) and surface water temperature. These estimates have been successfully validated (the lower Pearson correlation r was 0.88 for Chl-a) with 23 match-ups of in situ and satellite data. Results of the multitemporal analyses showed a decrease of SDD due to the increase of Chl-a in Aposelemis or an increase of turbidity in Mulargia. For both freshwater reservoirs, the satellite-derived trophic state index assigned both lakes to mesotrophic conditions. The results finally suggested the effectiveness of S2 and Landsat in increasing, for the latest investigated years, the frequency of observations.

show abstract

Section: Multi-temporal Analysis For Mulargia Reservoirmentioning

confidence: 99%

Monitoring water quality in two dammed reservoirs from multispectral satellite data

Bresciani

Giardino

Stroppiana

et al. 2019

European Journal of Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Among them the SPI and the SPEI has been widely used all over the world (e.g. Italy (Caloiero and Veltri 2019); India (Kumar et al 2019); Portugal (Raziei et al 2015); Syria (Mathbout et al 2018); Syria (Mohammed et al 2019); Slovakia (Labudová et al 2017;Vido et al 2019); Kenya (Ayugi et al 2020); Serbia (Bezdan et al 2019); the USA (Hernandez and Uddameri 2014) and China (Wang et al 2016;Fang et al 2018;Jin et al 2019) for analyzing different types of drought, including meteorological, agricultural, hydrological and socioeconomic drought.…”

Section: Introductionmentioning

confidence: 99%

Spatial–Temporal Evolution of Drought Characteristics Over Hungary Between 1961 and 2010

Alsafadi

Mohammed

Ayugi

et al. 2020

Pure Appl. Geophys.

View full text Add to dashboard Cite

Historically, Hungary has witnessed numerous waves of drought episodes, causing significant agro-economic loss. Over the recent decades, the intensity, severity and frequency of drought occurrence have dramatically shifted, with undisputable upward tendencies across many areas. Thus, the main aim of this study was to characterize drought trends, intensity and duration over Hungary during 1961-2010. To attain the study goals, the present analyses utilized climate datasets obtained from Climate of the Carpathian region project-CARPATCLIM for 1045 gridded points covering entire Hungary. Meanwhile, a well-known drought index, namely; standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI) at 12-month timescales were employed for drought characterization. Furthermore, the sub-set regions of drought in Hungary were identified using S-mode of the principal component analysis. The Mann-Kendall trend test analysis showed a significant negative SPI-12 trend (P \ 0.05) in 11.5% of the total points over the western part of Hungary. In comparison, 43.2% of the total numbers of the SPEI-12 time series gridded points showed a significant negative trend (P \ 0.05) over the similar locale. However, both indices' trends highlighted the fact that the northeastern region is less sensitive to drought despite experiencing the highest of total drought duration. Results also suggested that the SPI-12 indicates that no significant change can be detected from 1961 to 2010 over Hungary. In contrast, the SPEI-12 exhibits that the drought waves that hit Hungary were more pronounced, with a significant positive (P \ 0.05) trend of ? 1.4% per decade being detected for the area affected by very extreme drought. All in all, this study is one of the primary steps toward a better understanding of drought vulnerability assessment in Hungary.

show abstract

“…Before year 2000, the drought cycle was after longer as compared to the drought cycle from 2000 to 2013 which has evidently become shorter. SPI has successfully been used and is a good index when depicting drought severity [49,50]. From the maps, it was clear that more drought episodes occurred in the lowlands than in the highlands.…”

Section: Standardized Precipitation Index (Spi)mentioning

confidence: 99%

Spatial Evaluation of Droughts Using Selected Satellite-based Indices in the Upper Tana River Watershed, Kenya

Okal

Ngetich

Okeyo

2019

IJPSS

View full text Add to dashboard Cite

Aims: To identify the most appropriate drought indices for the identification and monitoring of historical meteorological and agricultural drought incidences and to explore the spatial characteristics of these droughts. Study design: GIS-based empirical research design. Place and Duration of Study: Upper Tana River Watershed, Kenya drought analysis covering a period of 1981 to 2013. Methodology: National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) provided raster maps for Normalized Difference Vegetation Index (NDVI) agricultural drought index, while GeoClim databased through Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) was used for retrieval of raster maps for Standardized Precipitation Index (SPI) meteorological drought index. ArcGIS version 10.3.1 facilitated image enhancement and correction for better visualization and interpretation. Results: Agricultural drought years were in 1983, 1987, 1993, 1996, 2000, 2004, 2005, 2008, and 2009 while meteorological drought years were in 1983, 1984, 1992, 1996, 1999, 2002, 2003, and 2011. Conclusion: Meteorological drought triggered events of agricultural drought. Both droughts showed a widespread pattern and were found to manifest at relatively same intervals during the study period.

show abstract

Drought Assessment in the Sardinia Region (Italy) During 1922–2011 Using the Standardized Precipitation Index

Cited by 34 publications

References 50 publications

Monitoring water quality in two dammed reservoirs from multispectral satellite data

Monitoring water quality in two dammed reservoirs from multispectral satellite data

Spatial–Temporal Evolution of Drought Characteristics Over Hungary Between 1961 and 2010

Spatial Evaluation of Droughts Using Selected Satellite-based Indices in the Upper Tana River Watershed, Kenya

Contact Info

Product

Resources

About